Event History Analysis

Description: This book provides a systematic introduction to models, methods and applications of event history analysis. Yamaguchi emphasizes 'hands on' information, including the use and misuse of samples, models and covariates in applications, the structural arrangement of input data, the specification of various models in such computer programs as SAS-LOGIST and SPSSX-LOGLINEAR, and the interpretation of parameters estimated from models. The book also explores such significant topics as missing data, hazard rate, Cox's partial likelihood model, survivor function, and discrete-time logit models. Table of Contents: Introduction What is Event History Analysis? Discrete Time-Logit Model The Analysis of One-Way Transition Discrete Time-Logit Model The Analysis of Two-Way Transitions Log-Rate Models for Piecewise Constant Rates Continuous-Time Models with Cox's Method Proportional Hazards Models, Non-Proportional Hazards Models, and Stratified Models Continuous-Time Models with Cox's Method Use of Time-Dependent Covariates and Related Issues Final Remarks Before Getting One's Own Research Started